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Micron Technology is a world leader in innovating memory and storage solutions that accelerate the transformation of information into intelligence, inspiring the world to learn, communicate and advance faster than ever.

Yield Enhancement Engineer Intern

Micron Technology is a world leader in innovating memory and storage solutions that accelerate the transformation of information into intelligence, inspiring the world to learn, communicate and advance faster than ever.

Department Introduction

The Yield Enhancement team plays a critical role in improving product quality, manufacturing efficiency, and technology performance across Micron's advanced memory portfolio. By using electrical failure analysis, wafer testing, data analytics, automation, and innovative engineering methodologies, the team identifies yield improvement opportunities and drives continuous optimization of semiconductor manufacturing processes. Our work directly supports the development of high-performance memory solutions that enable next-generation computing, artificial intelligence, and data-driven technologies.

Position Overview

Micron is seeking a highly motivated Yield Enhancement Engineer Intern to join our semiconductor manufacturing organization. In this role, you will work alongside experienced engineers to investigate yield issues, perform electrical failure analysis, analyze wafer and manufacturing test data, and develop data-driven solutions that improve engineering effectiveness. You will gain hands-on experience in semiconductor characterization, automation, advanced analytics, and AI-enabled engineering workflows while contributing to projects that support yield improvement and manufacturing excellence.

Responsibilities

• Gain hands-on experience testing semiconductor wafers using probe stations, electrical characterization equipment, and manufacturing test data.
• Support electrical failure analysis activities and yield investigations to identify and resolve product and process issues.
• Analyze manufacturing and test data to identify trends, anomalies, yield detractors, and potential root causes.
• Develop scripts, dashboards, visualization tools, and automation solutions that improve engineering workflows and productivity.
• Apply statistical methods, AI tools, and data analytics techniques to support defect detection, problem solving, and manufacturing optimization.
• Use large language models (LLMs) and generative AI technologies to accelerate data analysis, technical documentation, knowledge discovery, and engineering decision-making.
• Develop and evaluate AI-assisted workflows, prompt engineering techniques, and automation solutions to improve investigation efficiency and engineering effectiveness.
• Collaborate with Design, Process Integration, Manufacturing, Test, and Product Engineering teams while presenting technical findings through reports and presentations.

Minimum Qualifications

• Currently pursuing a Bachelor’s or Master’s degree in Electrical Engineering, Computer Engineering, Materials Science, Computer Science, Data Science, or a related technical field.
• Basic understanding of semiconductor devices, semiconductor manufacturing, or related technologies.
• Strong analytical, critical thinking, and problem-solving skills.
• Ability to analyze technical data and communicate findings effectively in a collaborative environment.
• Demonstrated written and verbal communication skills with the ability to work effectively on multi-functional teams.

Preferred Qualifications

• Currently pursuing a Master’s degree in Electrical Engineering, Computer Engineering, Materials Science, Computer Science, Data Science, or a related field.
• Experience with data analysis, programming, or automation tools such as Python, SQL, JMP, Power BI, Tableau, or similar platforms.
• Experience using AI tools such as Microsoft Copilot, ChatGPT, Claude, Gemini, or equivalent technologies for technical problem-solving, coding assistance, data analysis, or workflow automation.
• Familiarity with machine learning concepts, data science methodologies, prompt engineering, retrieval-augmented generation (RAG), AI agents, or automation frameworks.
• Strong interest in semiconductor technology, failure analysis, digital transformation, manufacturing optimization, and experience and/or interest in developing Agentic AI workflows into current or future processes.

As a world leader in the semiconductor industry, Micron is dedicated to your personal wellbeing and professional growth. Micron benefits are designed to help you stay well, provide peace of mind and help you prepare for the future.  We offer a choice of medical, dental and vision plans in all locations enabling team members to select the plans that best meet their family healthcare needs and budget.  Micron also provides benefit programs that help protect your income if you are unable to work due to illness or injury, and paid family leave.  Additionally, Micron benefits include a robust paid time-off program and paid holidays.  For additional information regarding the Benefit programs available, please see the Benefits Guide posted on micron.com/careers/benefits.

Micron is proud to be an equal opportunity workplace and is an affirmative action employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, age, national origin, citizenship status, disability, protected veteran status, gender identity or any other factor protected by applicable federal, state, or local laws.

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To learn more about Micron, please visit micron.com/careers

For US Sites Only: To request assistance with the application process and/or for reasonable accommodations, please contact Micron’s People Organization at  hrsupport_na@micron.com or 1-800-336-8918 (select option #3)

Micron Prohibits the use of child labor and complies with all applicable laws, rules, regulations, and other international and industry labor standards.

Micron does not charge candidates any recruitment fees or unlawfully collect any other payment from candidates as consideration for their employment with Micron.

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